Issue: https://github.com/opencv/cvat/issues/1217
Currently there are a few proposals for SSO authentication to bypass the
current user/password login on the UI. By using Django social accounts
it is also possible to use SSO on the API, retrieving the security token
by passing the code from the OAuth2 workflow. This is an example using
Amazon Cognito, but any other social account could also be added.
### Motivation and context
Currently CVAT has no functionality to log in with SSO. Other current
proposals bypass the current Django framework to add SSO in the UI only,
but still use username and password for the API. Using Django social
accounts integrates SSO with the API as well, allowing it to be used as
an alternative to the username and password, but can also be used
together with other SSO frameworks that are UI only.
### How has this been tested?
Unit tests for SSO manager in cvat-core and integration test with
cvat-sdk for /auth/cognito endpoint.
### Checklist
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- [x] I submit my changes into the `develop` branch
- [ ] I have added a description of my changes into
[CHANGELOG](https://github.com/cvat-ai/cvat/blob/develop/CHANGELOG.md)
file
- [x] I have updated the [documentation](
https://github.com/cvat-ai/cvat/blob/develop/README.md#documentation)
accordingly
- [x] I have added tests to cover my changes
- [x] I have linked related issues ([read github docs](
https://help.github.com/en/github/managing-your-work-on-github/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword))
- [ ] I have increased versions of npm packages if it is necessary
([cvat-canvas](https://github.com/cvat-ai/cvat/tree/develop/cvat-canvas#versioning),
[cvat-core](https://github.com/cvat-ai/cvat/tree/develop/cvat-core#versioning),
[cvat-data](https://github.com/cvat-ai/cvat/tree/develop/cvat-data#versioning)
and
[cvat-ui](https://github.com/cvat-ai/cvat/tree/develop/cvat-ui#versioning))
### License
- [x] I submit _my code changes_ under the same [MIT License](
https://github.com/cvat-ai/cvat/blob/develop/LICENSE) that covers the
project.
Feel free to contact the maintainers if that's a concern.
Co-authored-by: Melanie Day <mday@EYEDIAGNOSIS.local>
Co-authored-by: Maria Khrustaleva <maria@cvat.ai>
Co-authored-by: Nikita Manovich <nikita@cvat.ai>
* Fix serverless functions on Mac. Use host.docker.internal as an alias for localhost.
* Updated the CHANGELOG.md
* Fix unit tests for the lambda manager.
* Configured CI workflow for public images
* updated license headers
* align list item indent rule for remarklint and prettier
* updated changelog
Co-authored-by: Nikita Manovich <nikita.manovich@intel.com>
* updating dockercompose from 2.3 to 3.3
* adding changelog
* updating version in ci
* updating network mode docker-compose.ci
* updating version in components/serverless/docker-compose
* allow to run cvat without nuclio
* fix new line
* fix comments
* Updated core version
* refactoring
* minor refactoring, fixed eslint issues, added documentation to cvat-core, updated ui version, updated changelog
* move plugins to serverViewSet
Co-authored-by: Boris Sekachev <boris.sekachev@yandex.ru>
* Initial experiments with nuclio
* Update nuclio prototype
* Improve nuclio prototype for dextr.
* Dummy lambda manager
* OpenFaaS prototype (dextr.bin and dextr.xml are empty).
* Moved openfaas prototype.
* Add comments
* Add serializers and HLD for lambda_manager
* Initial version of Mask RCNN (without debugging)
* Initial version for faster_rcnn_inception_v2_coco
* Fix faster_rcnn_inception_v2_coco
* Implemented mask_rcnn_inception_resnet_v2_atrous_coco
* Implemented yolo detector as a lambda function
* Removed dextr app.
* Added types for each function (detector and interactor)
* Initial version of lambda_manager.
* Implement a couple of methods for lambda:
GET /api/v1/lambda/functions
GET /api/v1/lambda/functions/public.dextr
* First working version of dextr serverless function
* First version of dextr which works in UI.
* Modify omz.public.faster_rcnn_inception_v2_coco
- image decoding
- restart policy always for the function
* Improve omz.public.mask_rcnn_inception_resnet_v2_atrous_coco
* Improve omz.public.yolo-v3-tf function
* Implemented the initial version of requests for lambda manager.
* First working version of POST /api/v1/lambda/requests
* Updated specification of function.yaml (added labels and used annotations section).
* Added health check for containers (nuclio dashboard feature)
* Read labels spec from function.yaml.
* Added settings for NUCLIO
* Fixed a couple of typos. Now it works in most cases.
* Remove Plugin REST API
* Remove tf_annotation app (it will be replaced by serverless function)
* Remove tf_annotation and cuda components
* Cleanup docs and Dockerfile from CUDA component.
* Just renamed directories inside serverless
* Remove redundant files and code
* Remove redundant files.
* Remove outdated files
* Remove outdated code
* Delete reid app and add draft of serverless function for reid.
* Model list in UI.
* Fixed the framework name (got it from lambda function).
* Add maxRequestBodySize for functions, remove redundant code from UI for auto_annotation.
* Update view of models page.
* Unblock mapping for "primary" models.
* Implement cleanup flag for lambda/requests and labeling mapping for functions.
* Implement protection from running multiple jobs for the same task.
* Fix invocation of functions in docker container.
* Fix Dockerfile.ci
* Remove unused files from lambda_manager
* Fix codacy warnings
* Fix codacy issues.
* Fix codacy warnings
* Implement progress and cancel (aka delete) operation.
* Send annotations in batch.
* Fix UI. Now it can retrieve information about inference requests in progress.
* Update CHANGELOG.md
* Update cvat-ui version.
* Update nuclio version.
* Implement serverless/tensorflow/faster_rcnn_inception_v2_coco
* Add information how to install nuclio platform and run serverless functions.
* Add installation instructions for serverless functions.
* Update OpenVINO files which are responsible for loading network
* relocated functions
* Update dextr function.
* Update faster_rcnn function from omz
* Fix OpenVINO Mask-RCNN
* Fix YOLO v3 serverless function.
* Dummy serverless functions for a couple of more OpenVINO models.
* Protected lambda manager views by correct permissions.
* Fix name of Faster RCNN from Tensorflow.
* Implement Mask RCNN via Tensorflow serverless function.
* Minor client changes (#1847)
* Minor client changes
* Removed extra code
* Add reid serverless function (no support in lambda manager).
* Fix contribution guide.
* Fix person-reidentification-retail-300 and implement text-detection-0004
* Add semantic-segmentation-adas-0001
* Moving model management to cvat-core (#1905)
* Squached changes
* Removed extra line
* Remove duplicated files for OpenVINO serverless functions.
* Updated CHANGELOG.md
* Remove outdated code.
* Running dextr via lambda manager (#1912)
* Deleted outdated migration.
* Add name for DEXTR function.
* Fix restart policy for serverless functions.
* Fix openvino serverless functions for images with alpha channel
* Add more tensorflow serverless functions into deploy.sh
* Use ID instead of name for DEXTR (#1926)
* Update DEXTR function
* Added source "auto" inside lambda manager for automatic annotation.
* Customize payload (depends on type of lambda function).
* First working version of REID (Server only).
* Fix codacy warnings
* Avoid exception during migration (workaround)
File "/usr/local/lib/python3.5/dist-packages/django/db/utils.py", line 89, in __exit__
raise dj_exc_value.with_traceback(traceback) from exc_value
File "/usr/local/lib/python3.5/dist-packages/django/db/backends/utils.py", line 84, in _execute
return self.cursor.execute(sql, params)
django.db.utils.ProgrammingError: table "engine_pluginoption" does not exist
* Add siammask serverless function (it doesn't work, need to serialize state)
* Run ReID from UI (#1949)
* Removed reid route in installation.md
* Fix a command to get lena image in CONTRIBUTION guide.
* Fix typo and crash in case a polygon is a line.
Co-authored-by: Boris Sekachev <40690378+bsekachev@users.noreply.github.com>
* Update to support additional env vars
- Added environment variables for:
- Redis Host
- Postgres Host
- Change `POSTGRES_PASSWORD` => `CVAT_POSTGRES_PASSWORD` to avoid collision with other scripts.
* Using ENV vars in supervisord.conf
* Fixing ENV vars.
* add env vars to docker-compose.yml
* merge supervisord.conf
* update docker-compose env var values
* Update CHANGELOG.md
Co-authored-by: Aleksandr Melnikov <aleksandr@onepanel.io>
Co-authored-by: Nikita Manovich <40690625+nmanovic@users.noreply.github.com>
* Replaced wget by curl
* Moved CI stuff into Dockerfile.ci
* Use docker-compose to run commnands inside docker (need environment variables)
* Added patool again (to support different archive formats)
* Roll back tensorflow version: 1.15 -> 1.13.1
Fixed https://github.com/opencv/cvat/issues/982
Fixed https://github.com/opencv/cvat/issues/1017
* datumaro install tensorflow 2.x now. It breaks automatic annotation
using TF.
* Follow redirects in curl (auto_segmentation)
Roman Donchenko
ddx-day
Andrey Zhavoronkov
Maxim Zhiltsov
Maria Khrustaleva
Kirill Sizov
Nikita Manovich
Kirill Sizov
Boris Sekachev
Nikita Manovich
Andrey Zhavoronkov
Nikita Manovich
Tadej Svetina
Dmitry Agapov
Vitaliy Nishukov
abdullahrkw
Andrey Zhavoronkov
Nikita Manovich
Rush Tehrani
a-andre
Boris Sekachev
Reza Malek
RS Nikhil Krishna
Naval Chand